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Method for reconstructing motion-compensated magnetic resonance images from non-Cartesian k-space data

机译:从非笛卡尔k空间数据重建运动补偿磁共振图像的方法

摘要

A method for reconstructing a motion-compensated image depicting a subject with a magnetic resonance imaging (MRI) system is provided. An MRI system is used to acquire a time series of k-space data from the subject by sampling k-space along non-Cartesian trajectories, such as radial, spiral, or other trajectories at a plurality of time frames. Those time frames at which motion occurred are identified and this information used to segment the time series into a plurality of k-space data subsets. For example, the k-space data subsets contain k-space data acquired at temporally adjacent time frames that occur between those identified time frames at which motion occurred. Motion correction parameters are determined from the k-space data subsets. Using the determined motion correction parameters, the k-space data subsets are corrected for motion. The corrected data subsets are combined to form a corrected k-space data set, from which a motion-compensated image is reconstructed.
机译:提供一种用于利用磁共振成像(MRI)系统重建描绘对象的运动补偿图像的方法。 MRI系统用于通过沿非笛卡尔轨迹(例如在多个时间帧上的径向,螺旋或其他轨迹)对k空间进行采样来从对象获取k空间数据的时间序列。识别出发生运动的那些时间帧,并且该信息用于将时间序列分段为多个k空间数据子集。例如,k空间数据子集包含在时间上相邻的时间帧处获取的k空间数据,所述时间相邻的时间帧发生在那些识别的发生运动的时间帧之间。运动校正参数是从k空间数据子集中确定的。使用确定的运动校正参数,对k空间数据子集进行运动校正。组合校正后的数据子集以形成校正后的k空间数据集,从该数据集重建运动补偿后的图像。

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